Optimization of three-echelon logistics supply chain considering emergency scenarios under resilience strategy: A case study in power metering industry

Abstract

As supply chain management demands escalate, emergency response becomes crucial to its optimization, particularly in vital sectors like electric power, where an efficient and stable supply chain is essential for societal operations. This paper explores the optimization of three-echelon logistics supply chain for power metering equipment during emergency scenarios. It introduces a two-stage inventory routing optimization model which considers fuel consumption modeling of heterogeneous vehicles to more accurately reflect actual supply chain operations. In addition, a joint scheduling resilience strategy is devised to enhance supply chain robustness. Furthermore, an improved metaheuristics algorithm is designed to improve the efficiency and the quality of the solution. Though a case study based on real power metering data in Southwest China, the effectiveness of the designed model and resilience strategy are validated. Notably, the proposed method in different scale emergency scenarios have advantages over both existing traditional method and other cutting-edge algorithms, being able to reduce the total cost and logistics time by an average of 50.82% and 44.13%, respectively. This paper provides actionable approaches and instrumental analytics for power metering device logistics, contributing substantially to supply chain resiliency.